Databricks Lakehouse Fundamentals Certification Latest Update Graded A+

Databricks Lakehouse Fundamentals Certification Latest Update Graded A+ Databricks A Software-As-A-Service company that makes big data and AI easier for organizations to manage, enabling data-driven innovation in all enterprises. Databricks Lakehouse Platform A platform that empowers everyone on a data science team to work together, in one secure platform, from the minute data is ingested into an organization through when it's cleaned up, analyzed, and used to inform business decisions. Lakehouse A storage technology that combines the most popular functionality from data warehouses and data lakes. An implementation uses similar data structures and data management features to those in a data warehouse, directly on the kind of low-cost storage used for data lakes. Data Warehouses A storage technology that generally follow a set of guidelines to design systems controlling the flow of data used in decision-making. They are designed to optimize data queries, prevent conflicts between concurrently running queries, support structured data, and make the assumption that data entered is unlikely to change with high frequency. Data Lakes A storage technology that allows an organization to permanently and cheaply store data of any nature in any format - in fact, data lakes allow both structured and semi- structured data to be stored alongside unstructured data like video, images, free text, and log files. Data Swamp A poorly maintained data lake that is difficult to navigate and query. Delta Lake An open-source storage layer that brings data reliability to data lakes through accuracy and completeness to the data. A part of the combination responsible for laying the foundation for the Lakehouse. ACID Transactions A reliability innovation for Delta Lake that guarantees data validity by performing changes to data as if they are a single operation. Indexing A performance innovation for Delta Lake that orders an unordered table to maximize the efficiency of queries. Table Access Control Lists (ACLs) A governance innovation for Delta Lake that ensures that only users who should have access to data can access it. Expectation-Setting A quality innovation for Delta Lake that configures based on your workload patterns and business needs. Bronze Layer A layer in the Delta Lake that contains raw data ingestion and history. Silver Layer A layer in the Delta Lake that contains filtered, cleaned, and augmented data. Gold Layer A layer in the Delta Lake that contains business-level aggregate data. Databricks SQL An interface to write queries that explore their organization's Delta Lake table. Regularly used code can be saved as snippets for quick reuse, and query results can be cached to keep the query short. Databricks Machine Learning An interface to explore data, prepare and process data, build and test machine learning models, deploy those models, and optimize them. Managed MLflow A component of Databricks Machine Learning that allows machine learning practitioners to easily access data about their models. Databricks Collaborative Notebooks A component of Databricks Machine Learning that is a web-based interface that contains runnable code, visualizations, and narrative text. They are used in data science and machine learning to perform exploratory data analysis and build machine learning models. They support multiple programming languages (SQL, Scala, R, Python, and Java), built-in data visualizations, automatic versioning, and the ability to automate processes. Databricks Machine Learning Runtime A component of Databricks Machine Learning that is a scalable computing resource that comes with built-in popular data science frameworks (interfaces that help data practitioners quickly build